Why the study?
ECG signals may alter based on a user's health or physical condition, preventing biometric verification unless a trustworthy method accounts for unique ECG variations.
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A novel supervised learning platform using SVM and domain customization achieved 99.4% accuracy for ECG-based biometric verification.
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Dhanke et al. (2022) studied this question.
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